Meier Kaare, Knudsen Anne Lene Høst, Boudreau Shellie Ann, Sørensen Jens Christian Hedemann
Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark.
Department of Anesthesiology, Aarhus University Hospital, Aarhus, Denmark.
Neuromodulation. 2019 Apr;22(3):290-294. doi: 10.1111/ner.12868. Epub 2018 Oct 16.
In spinal cord stimulation (SCS), the electrical stimulation of the spinal cord with an implanted lead evokes a tingling peripheral sensation known as paresthesias. Newer stimulation paradigms allow paresthesia-free treatment, but during the implantation of the lead, paresthesias must cover the painful area to achieve optimal treatment effect. The localization of the evoked paresthesias can be difficult to accurately describe for the patient, and furthermore depends on a complex and only partially predictable set of parameters that includes the anatomical localization and the programming of the electrical field. We aimed to optimize SCS implantation procedures by devising a way to aid the patient in making useful descriptions of the evoked paresthesias, then to visually convey the full set of information-anatomical position of the lead, programming parameters, and evoked paresthesias-directly to the implanting physician.
To aid the patient in making accurate descriptions of the evoked paresthesia, we use an app dedicated to creating pain drawings on a tablet. We used Chromecast and Apple TV to project the information from the pain drawing tablet and the programming device to two monitors placed in the implanter's field of vision, right next to the fluoroscopy monitor.
The three monitors combined provide a direct visual representation of the dynamic dataset used during SCS implantation: Position, Programming, and Paresthesias, essentially creating the equivalent of the dashboard of a car.
We present an Implanter's Integrated Information (I3) system; a simple, inexpensive solution for gathering, integrating, and conveying the complex set of information necessary for a successful SCS procedure.
在脊髓刺激(SCS)中,通过植入电极对脊髓进行电刺激会引发一种称为感觉异常的外周刺痛感。更新的刺激模式允许无感觉异常的治疗,但在植入电极期间,感觉异常必须覆盖疼痛区域以达到最佳治疗效果。诱发的感觉异常的定位对于患者来说可能难以准确描述,而且还取决于一组复杂且仅部分可预测的参数,包括解剖学定位和电场的编程。我们旨在通过设计一种方法来帮助患者对诱发的感觉异常进行有用的描述,然后将完整的信息集——电极的解剖位置、编程参数和诱发的感觉异常——直接直观地传达给植入医生,从而优化SCS植入程序。
为了帮助患者准确描述诱发的感觉异常,我们使用一款专门用于在平板电脑上创建疼痛图的应用程序。我们使用Chromecast和Apple TV将来自疼痛绘图平板电脑和编程设备的信息投射到放置在植入医生视野内、紧邻荧光透视监视器的两台显示器上。
这三台显示器组合在一起,直接直观地呈现了SCS植入过程中使用的动态数据集:位置、编程和感觉异常,本质上创建了相当于汽车仪表盘的东西。
我们提出了一种植入医生综合信息(I3)系统;这是一种简单、廉价的解决方案,用于收集、整合和传达成功进行SCS手术所需的复杂信息集。